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Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning,…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity,…
FMX is seeking a Senior AI Research Engineer to help design, build, and scale Skynapse, FMX's agentic AI framework for rates and derivatives exchange workflows. Skynapse uses a central orchestrator to understand…
Are you interested in working with data and analytics to solve problems? Are you interested in bringing your GenAI, ML and NLP expertise to projects? About our Team Data Science Life Sciences is a diverse team focusing…
Why you’ll love working here: high-performance, people-focused culture our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel…
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging…
Who Are We❓ Welcome to the world of Mrsool! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA)…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
About the company X is Alphabet’s moonshot factory where uncomfortably ambitious, world-changing ideas are developed and taken out into the world. X projects have the potential to transform the lives of billions of…
ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in…
About Grupo QuintoAndar We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and…
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and…
Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no…
Senior Data Scientist at Agibank, a Brazilian fintech, developing and monitoring ML/statistical models for credit decisions and fraud prevention. Works with Python/R, SQL, Spark, and algorithms like XGBoost and LightGBM to drive business impact in a data-driven team.
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help…
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise…
Für unsere Northern Europe Unit (Belgien, Deutschland, Österreich und Schweiz) suchen wir einen AI Engineer (m/w/d), der unsere KI-Transformation aktiv mitgestaltet und innovative Lösungen entwickelt, die einen…
About the Position As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set…
Senior AI/ML Data Scientist role at Nielsen in Bangalore, architecting and deploying ML systems that unlock audience behavior insights from complex data. Uses Python, classical ML (XGBoost, Random Forests, SVMs), deep learning (PyTorch, TensorFlow), LLMs, and computer vision to solve business problems and improve model performance.
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